I am a Research Scientist at Google. I got my PhD at University of British Columbia advised by Prof. Leonid Sigal. Before that I did my Master in Computer Science at UBC and Bachelors in Electrical Engineering at Indian Institute of Technology Guwahati. My research interest mostly intersect with structured representation learning and neural rendering.
Associating Objects and their Effects in Unconstrained Monocular Video
M. Suhail, E. Lu, Z. Li, N. Snavely, L. Sigal and F. Cole
Accepted to CVPR 2023
Paper / Code
Generalizable Patch-Based Neural Rendering
M. Suhail, C. Esteves, L. Sigal and A. Makadia
[Oral] European Conference on Computer Vision(ECCV) 2022
Project Page / Code / Video
Light Field Neural Rendering
M. Suhail, C. Esteves, L. Sigal and A. Makadia
[Oral] Conference on Computer Vision and Pattern Recognition(CVPR), 2022
(Top 33 finalist for best paper award)
Paper / Code / Project Page / Video
Energy-Based Learning for Scene Graph Generation
M. Suhail, A. Mittal, B. Siddiquie, C. Broaddus, J. Eledath, G. Medioni and L. Sigal
Conference on Computer Vision and Pattern Recognition(CVPR), 2021.
(Selected as one of the best 32 papers)
Paper / Code / Video
Segmentation-grounded Scene Graph Generation
S. Khandelwal*, M. Suhail*, Leonid Sigal
[Oral] IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Paper / Code / Video
Mixture Kernel Graph Attention Networks for Situation Recognition
M. Suhail and L. Sigal
IEEE/CVF International Conference on Computer Vision (ICCV), 2019.
Paper / Blog
Google Research | Toronto, ON
Google Research | Cambrdige, MA
Google Research | New York, NY
Amazon | Seattle, WA